%0 Journal Article
%T iBeacon indoor localization using trusted
%A Tuan D Vy
%A Yoan Shin
%J International Journal of Distributed Sensor Networks
%@ 1550-1477
%D 2019
%R 10.1177/1550147718824304
%X In this article, we propose an efficient approach to address mobile indoor localization using received signal strength from iBeacon combined with trusted-ranges model. In order to overcome the inconsistency of radio signal propagation, the trusted-ranges model supplies reliable ranges of received signal strength values from a certain number of nearest neighbor iBeacon nodes by classifying received signal strength values into various levels of range. By observing the signal propagation, the trusted-ranges model is built to provide important information for the training phase. Based on this, a partition scheme is applied to effectively determine the position of mobile devices. The experimental results show fast, robust, and accurate localization performance in the proposed method
%K Indoor localization
%K received signal strength
%K iBeacon
%K trusted ranges
%U https://journals.sagepub.com/doi/full/10.1177/1550147718824304